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authorCalvin Morrison <mutantturkey@gmail.com>2014-03-18 16:02:34 -0400
committerCalvin Morrison <mutantturkey@gmail.com>2014-03-18 16:02:34 -0400
commitbf546100cffe7ec898deef87002bf45c7c522325 (patch)
treecdc12a6ac28c02ca1ba55adbecd7100f3effdd52
parent97e1498130a72f0a081b42759fa386a7460bb75d (diff)
update readmev1.1
-rw-r--r--README.markdown25
1 files changed, 3 insertions, 22 deletions
diff --git a/README.markdown b/README.markdown
index 7456ad4..45a860d 100644
--- a/README.markdown
+++ b/README.markdown
@@ -19,28 +19,10 @@ In order to use the feast module, you will need the following dependencies
* Python 2.7
* Numpy
* Linux or OS X
+* [FEAST](https://github.com/Craigacp/FEAST)
+* [MIToolbox](https://github.com/Craigacp/MIToolbox)
## Installation
-To install the FEAST interface, you'll need to build and install the FEAST
-libraries first, and then install python.
-
-Make MIToolbox and install it:
-
- cd FEAST/MIToolbox
- make
- sudo make install
-
-Make FSToolbox and install it:
-
- cd FEAST/FSToolbox
- make
- sudo make install
-
-Run ldconfig to update your library cache:
-
- sudo ldconfig
-
-Install our PyFeast module:
python ./setup.py build
sudo python ./setup.py install
@@ -56,5 +38,4 @@ We have documentation for each of the functions available [here](http://mutanttu
## References
* [FEAST](http://www.cs.man.ac.uk/~gbrown/fstoolbox/) - The Feature Selection Toolbox
* [Fizzy](http://www.kbase.us/developer-zone/api-documentation/fizzy-feature-selection-service/) - A KBase Service for Feature Selection
-* [Conditional Likelihood Maximisation: A Unifying Framework for Information Theoretic Feature Selection]
-(http://jmlr.csail.mit.edu/papers/v13/brown12a.html)
+* [Conditional Likelihood Maximisation: A Unifying Framework for Information Theoretic Feature Selection](http://jmlr.csail.mit.edu/papers/v13/brown12a.html)